Artificial Intelligence and Machine Learning in Heat Transfer Optimization for Sustainable Energy Systems - Hardcover

 
9781041089698: Artificial Intelligence and Machine Learning in Heat Transfer Optimization for Sustainable Energy Systems

Inhaltsangabe

Artificial Intelligence and Machine Learning in Heat Transfer Optimization for Sustainable Energy Systems examines how to use AI/ML-driven methodologies to enhance heat transfer processes in energy systems, such as industrial heat recovery, HVAC systems, and renewable energy generation, with a focus on sustainability.

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Über die Autorin bzw. den Autor

Dr. Jatoth Heeraman is an Assistant Professor of Mechanical Engineering at Malla Reddy (MR) Deemed to be University, Hyderabad, India. He received his Ph.D. in Mechanical Engineering from Lovely Professional University, India in 2024 and earned his M.Tech (Thermal Engineering) and B.Tech (Mechanical Engineering) degrees from JNTUH, Hyderabad, India. With over eight years of academic and research experience, his doctoral work focused on experimental heat transfer enhancement in heat exchangers. He has contributed over 25 journal articles and holds 25 Indian patents (published) and one UK patent. His research interests include high-speed flows, renewable energy systems, and AI/ML-enabled CFD.

Dr. Praveen Barmavatu is an Assistant Professor of Mechanical Engineering at Universidad Tecnológica Metropolitana (UTEM), Santiago, Chile. He earned his Ph.D. in Mechanical Engineering in 2019 and holds M.Tech and B.Tech degrees from JNTUH, Hyderabad, India, along with a Diploma in Mechanical Engineering. His research focuses on heat exchangers, thermal energy storage, solar thermal systems, and AI/ML-based optimization. He has published over 110 journal articles, holds several patents, and has contributed to international projects funded by ANID FONDECYT (Chile), DRDO (India), and KFUPM (Saudi Arabia).

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